Program Segmentation of Linear Transmission

Abstract

Content streams may be segmented to provide automatic extraction and storage of content items without intervening commercials or other unrelated content. These content items may then be stored in a database and made accessible to subscribers through, for example, an on-demand service. Automatic segmentation may include the identification of program boundaries, segmentation of a content stream based on the boundaries and the subsequent classification of the segments into content types. For example, audio and video duplication detection may be used to identify commercials since commercials tend to repeat frequently over a relatively short amount of time. A system may further identify an end of program indicator in a video stream to determine when a program ends. Accordingly, if a program ends after a scheduled end time, a recording device (e.g., the program is being recorded) may automatically extend the recording time to capture the entire program.

Description

TECHNICAL FIELD

[0001] Aspects of the disclosure relate to processing linear content streams. In particular, one or more aspects relate to the identification of segments in a linear transmission and the utilization of such information.BACKGROUND

[0002] The increased popularity of video recording devices and video-on-demand has motivated television programming providers to expand the capabilities and functionality of recording devices while increasing video-on-demand offerings. One of the attractions of video recording devices and video-on-demand is the ability for a subscriber to move past commercials, thereby viewing desired content in one continuous segment, rather than in a series of segments separated by advertisements. However, video recording devices are often configured to record a specific time frame. Accordingly, if a program runs long, the device might not record the entire program. Alternatively, if a program is shorter than the allotted time frame, the device may waste recor...

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